Making Sense of Serverless Computing
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This document discusses serverless computing and its advantages over traditional server-based architectures. Serverless applications are built around discrete functions that are triggered by events rather than being continuously deployed on servers. This allows scaling to high demand without provisioning or managing servers, and paying only for the resources consumed. Serverless computing can provide significant cost savings compared to traditional or container-based cloud hosting by eliminating the overhead of idle compute resources.
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Making Sense of Serverless Computing
- 1. Making Sense Out of Serverless Computing Focus is not on the servers, nor on the lack of them. Bruno Borges – @brunoborges Microsoft Azure Developer Relations Group
- 3. “Serverless” Idiotic term but nevertheless cool :-) @brunoborges
- 4. “Serverless is a consequence of a focus on business value.” Ben Kehoe Serverless is a State of Mind aka.ms/serverless-state-of-mind @brunoborges
- 5. Before cloud Copyright Computer Laboratory, University of Cambridge. Reproduced by permission. @brunoborges
- 6. On-Premises How many servers do I need? Which OS should I use? How often should I patch my servers? What size of servers should I buy? How often should I backup my server? How can I increase server utilization? How do I deploy new code to my server? Which packages should be on my server? It takes how long to provision a new server? Are my server in a secure location? What happens if the power goes out? Do I need secondary network connection? What is the right size of servers for my business needs? Who has physical access to my servers? Do I need a UPS? What media should I use to keep backup? What storage Ineed to use? How can Iscale my app? What happens in case of server hardware failure? How can I dynamically configure my app? Who monitors my Servers? Who monitors my App? The “evolution” of application platforms @brunoborges
- 7. IaaSOn-Premises How often should I patch my servers? How often should I backup my server? Which packages should be on my server? How many servers do I need? How can I increase server utilization? What is the right size of servers for my business needs? How can I scale my app? Which OS should I use? How do I deploy new code to my server? Who monitors my App? The “evolution” of application platforms @brunoborges
- 8. PaaSIaaSOn-Premises How many “servers” do I need? How can I increase “server” utilization? What is the right size of “servers” for my business needs? How can I scale my app? The “evolution” of application platforms @brunoborges
- 9. PaaSIaaSOn-Premises Serverless How do I architect my app? Serverless, the platform for next gen apps The “evolution” of application platforms @brunoborges
- 10. Event-driven Micro-billing per usage No server setup or maintenance Scalability and high availability “Serverless” @brunoborges
- 11. Cloud Computing The basics. • Applications • Monoliths, Microservices • Runtimes • Application Servers, Stacks, Engines, JVMs • Containers • Docker, Kubernetes, OpenShift, Cloud Foundry • Virtual Machines • Windows, Linux, Puppet, Chef, Ansible @brunoborges
- 12. Serverless Cloud Computing The basics. But it can go beyond these. • Functions • Cloud services: Azure Functions, Google Cloud Functions, AWS Lambda • Projects: Azure Functions, OpenFaaS, Apache OpenWhisk, Fn Project, Knative • Events • Azure Event Hubs / Event Grids, Amazon Kinesis, Google Cloud Pub/Sub • Flows • IFTTT-style: Azure Logic Apps, Amazon SWF • Databases • Azure Cosmos DB, AWS Aurora Serverless @brunoborges
- 13. Serverless Databases Azure Cosmos DB NoSQL Auto-scale Highly Available Pay per usage AWS Aurora Serverless SQL Auto-scale Highly Available Pay per usage
- 15. 100,000 operations free $0,60 per million operations * Azure Event Grid pricing Serverless Events @brunoborges
- 16. Serverless Functions Open Source Projects (Runtimes) Cloud Providers
- 17. Java, JVM, and Serverless • Cold startup and footprint are an issue • Solutions • Class Data Sharing (JEPs 310, 341, 350) • Ahead-of-Time (AOT) Compilation • Garbage Collection is may be unnecessary • Solution • Remove the GC! • JEP 318 – Epsilon: A No-Op Garbage Collector (Java 11) • Once the available Java heap is exhausted, the JVM will shut down.
- 18. GIF Loop via NikeTalk.com @brunoborges
- 19. Economic Advantage Pay as you grow? @brunoborges
- 20. Containers/VMs versus Serverless Functions • On-premises is upfront cost. • Cloud Containers/VMs are charged per allocation. • Containers/VMs with 10% CPU consumption still cost the same when at 100% CPU consumption. • Serverless is cost per computing usage. @brunoborges
- 21. What to expect? Scale Cost Serverless Traditional Servers = $$$ Saved with Serverless @steveonjava
- 22. The reality… Scale Cost Serverless Traditional Servers = $$$ Saved with Serverless = $$$ Saved with Servers @steveonjava
- 24. Your own serverless platform: deliver the “developer experience” Scale Cost Serverless Owned Serverless = $$$ Saved with Owned Serverless Traditional Servers @steveonjava
- 25. Pay as you grow. Until you own? $$$ you’d save by owning, goes into staffing. @brunoborges
- 26. What site is this? haveibeenpwned.com • 32 million API requests in a week • 5,5 million API requests in a day • 477 GB bandwidth in a week @brunoborges
- 27. ';--have i been pwned? • 32 million API requests in a week. 477 GB bandwidth in a week • Azure Pricing • Azure Functions: first 1 million requests are free. $0,20 per million requests afterwards. • Azure Bandwidth: first 5GB / month are free. $ 0.087 per GB within 5GB-10TB. • Total estimate: $2.697,60 / year @brunoborges
- 28. How to Reduce Cost in Serverless Web Apps Be smart. Stay focused on business value.
- 29. Cloudflare to the rescue • Prevent requests from hitting your serverless functions • Block attackers IPs • Distribute cached data globally (CDNs) @brunoborges
- 30. Cloudflare to the rescue • Only 1% of requests a day ended up hitting Azure Functions • In the end: ~$ 0,80 /month • compared to original estimate of ~ $ 7,50 /day @brunoborges
- 31. “The fastest, most cost-effective way of running code on Azure is to avoid hitting Azure!.” Troy Hunt @brunoborges
- 32. How many people work at haveibeenpwned.com? OneLearn more aka.ms/troy-hunt-case-cloudflare aka.ms/troy-hunt-case-azure-functions @troyhunt @brunoborges
- 33. “Craftsman can be 5x even more efficient by knowing what not to do.” Anton Keks @brunoborges
- 34. Focus on business value. Write code for that goal. Save money. Serverless Cloud Computing’s TLDR @brunoborges
- 36. © Copyright Microsoft Corporation. All rights reserved.